The environmentalization of urban entrepreneurialism: From technopolis to start-up city
Bibliographic record
Abstract
This paper investigates two trends in contemporary forms of urban entrepreneurialism: (a) an increasing focus on cultivating entrepreneurship, and (b) the promotion of entrepreneurial ecosystems that leverage culture and sustainability to attract and support entrepreneurs. We argue that these trends signify a shift from the entrepreneurial city to new strategies that shape cities for entrepreneurs. Underpinning this development is a broad normalization and valorization of entrepreneurship as the dominant pathway for urban economic growth. Additionally, we show how sustainability and greening are enrolled in these economic development strategies, promising to bolster the environmental image of the city. We highlight these two changes by focusing on the intellectual foundations of the technopolis concept in Austin, Texas, and the development of a cleantech entrepreneurial ecosystem that has increasingly been leveraged in Austin’s entrepreneurial growth efforts. We offer insights into how the growing trend of “making cities for entrepreneurs” is reshaping urban entrepreneurial governance, potentially exacerbating inequalities in urban development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".